Hiring is a universal challenge that daunts nearly every company. The same problems often arise such as: manually collecting “requirements,” translating and inferring a hiring manager’s needs, and comparing and weighing skills, experiences, education, etc. The end result is miscommunication and multiple rounds of feedback necessary to align the hiring manager’s wishes with the recruiter’s search strategy.
Eightfold.ai’s calibration platform is designed to reduce this miscommunication, and ensure the hiring manager and recruiter are aligned throughout the sourcing and recruiting process.
Hiring managers frequently have “ideal candidates” in mind to fill positions on their team—former team members, other employees, or former colleagues. (see Fig. 1). Through eightfold.ai’s calibration platform, hiring managers can harness this powerful information to sort through thousands of candidates and prioritize those candidates who have the most similar skills and experiences to the “ideal candidates” they are looking for.
To further refine the calibration, companies can include a specific set of skills, dictate whether those skills are preferred or required, and indicate whether certain skills should be excluded. Using the Research Assistant on the right side of the tool (see Fig. 2), customers can continue to target the search by adding relevant, similar job titles, target companies, and similar industries.
Based on EEOC goals, the customer can further hone their search to address diversity goals. These filters do not exclude anyone, but highlight those matching the chosen diversity classes.
Finally, Advanced Options (see Fig. 3) allow customers to calibrate roles based on location and tenure.
When calibrating positions, eightfold’s AI engine adjusts the match scores of candidates in your ATS so you can preview what effect your new requirements is having. Customers also instantly see key metrics about the pool of candidates their calibration has identified, such as candidate pool size, how many are likely to respond, and the percentage that classify for the selected diversity classes (see Fig. 4).
Additionally, at a glance, customers can research sample candidates, giving feedback to the eightfold.ai AI engine by using the thumbs down feature to remove candidates that are not a good fit for the role.
The score and top highlights gives us an indication of how the candidate relates to the role, driven by the current calibration (see Fig. 5).
To get a more granular view of the candidate (Fig. 6), the customer can click through to view a brief overview of the candidate’s background and key credentials.
Finally, recruiters can share sample candidates, along with the calibration, with the hiring manager (Fig. 7)—this saves time by having requirements align with those of the hiring managers, and improves hiring manager engagement by providing an asynchronous communication channel.
Eightfold.ai’s calibration platform allows a hiring manager and recruiter to be in constant contact about open positions. If you are interested in learning more about Calibration, feel free to check out our website or contact us at firstname.lastname@example.org. Stay tuned to learn more about how to identify qualify talent with our next feature: Pipeline.